Research on Two-Degree-of-Freedom Internal Model Control Strategy for Induction Motor Based on Immune Algorithm

Abstract

The internal model control (IMC) has been widely attended for its simple structure and easy realization. Its control performance has a relationship with the filter time constant directly, so that its application of high performance is influenced in the application of motor drive system. A novel method of two-degree-of-freedom (2DOF) IMC strategy of induction motors (IMs) using the immune algorithm (IA) is proposed in this paper. The IA is studied on the basis of the immune response system and the algorithm realization is analyzed. The IA is introduced into the 2DOF IMC, and the filter time constant adjustment online is realized by taking full advantage of the adaptivity of the IA. The simulation and experimental results verify the effectiveness of 2DOF IMC strategy of the IM using the IA.